AI & AUTOMATION
Learn AI Engineering Trainee.
Master real-world AI engineering by working directly alongside our senior engineers building production LLM apps, agentic workflows, and RAG pipelines.
Build Real AI Systems.
Skip theoretical lectures. Our trainee program puts you directly into real client codebases building LangChain pipelines, fine-tuning models, and deploying vector search databases.
- LangChain, LlamaIndex & Python AI framework development
- Vector database engineering (Pinecone, Qdrant, ChromaDB)
- Autonomous agent framework building (AutoGPT, CrewAI, LangGraph)
- Live client project experience & verified portfolio certification
THE WEPITCH DIFFERENCE
Built for enterprise scalability.
Verifiable Performance
Every strategy decision is derived from real analytics, buyer search intent, and conversion data.
Security & Speed
We build scalable architectures with sub-second response times and 100% code ownership.
Long-Term Growth Assets
Our platforms and acquisition funnels continue generating value quarters after deployment.
FAQ
Frequently Asked Questions
What is the typical timeline for an engagement?
Initial discovery and technical audits take 1–2 weeks. Strategy execution, platform engineering, or campaign launches follow within 3–6 weeks depending on scope.
Do we retain 100% ownership of deliverables and data?
Yes, 100%. All source code, ad account assets, analytics data, and media production deliverables are transferred fully to your organization.
How do you measure and report progress?
We provide real-time reporting dashboards tracking key performance indicators (KPIs) like CAC, ROAS, organic traffic, and conversion pipeline revenue.
How does your team collaborate with our internal team?
We integrate seamlessly with your team via weekly sprint syncs, direct channel coordination, and transparent project management boards.
Ready to Master Production AI Engineering?
Apply today for our practical AI & Agentic Systems Trainee Cohort.